(USA) Distinguished, Data Scientist - Operations Research
About The Position
The Distinguished Data Scientist will lead advanced analytics initiatives to solve complex business challenges using machine learning, predictive modeling, optimization, and data visualization. The role applies expertise in data strategy, model development, and deployment to deliver actionable insights and measurable business impact. The successful candidate collaborates across functions to translate business needs into data solutions, mentors team members, and promotes continuous improvement. The position calls for a strong foundation in statistical and optimization methods, coding, and data governance to support Walmart’s strategic objectives and decision-making capabilities. The role is part of Walmart’s Supply Chain Strategy team, which leads long-term network planning through data-driven methods, advanced modeling, and cross-functional collaboration. The team assesses strategic locations, capacity, inventory flows, transportation, and capital investments. In partnership with Operations, Finance, and Technology, it develops scalable analytical frameworks using Python, SQL, optimization, simulation, and AI. Its unified modeling approach, FALCON, integrates multidimensional data to optimize customer value, market share, and capital deployment, supporting supply chain efficiency and sustained business value.
Requirements
- Extensive experience in advanced data analysis, machine learning, and causal inference to solve complex business problems.
- Strong background and experience in mathematical optimization, such as mixed integer programming, greedy search, and other heuristics.
- Proficiency in data visualization tools and techniques.
- Ability to translate business requirements into actionable analytics strategies aligned with organizational goals.
- Skill in coding languages such as Python and SQL for developing and testing analytical models.
- Proven capability to mentor teams and communicate complex data insights effectively.
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 7 years of experience in an analytics-related field; or a master’s degree in one of those fields and 5 years of such experience; or 9 years of experience in an analytics or related field.
- 3 years of supervisory experience.
Nice To Haves
- Data science, machine learning, or optimization models experience.
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
- Successful completion of one or more assessments in Python, Spark, Scala, or R.
- Supervisory experience.
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch.
Responsibilities
- Analyze complex business problems using advanced data analytics, machine learning, and optimization to identify root causes and recommend solutions.
- Develop and implement predictive models and optimization algorithms to support strategic initiatives and improve operational outcomes.
- Design and deliver clear data visualizations and narratives tailored to stakeholders to facilitate informed decision-making.
- Collaborate with cross-functional teams to translate business requirements into scalable data strategies and technology solutions.
- Mentor team members on analytical methods, model validation, and best practices.
- Monitor deployed models for accuracy, sustainability, and alignment with business objectives.
Benefits
- Competitive pay and performance-based bonus awards.
- Medical, vision, and dental coverage.
- 401(k), stock purchase, and company-paid life insurance.
- Paid time off, including sick leave; parental leave; family care leave; bereavement leave; jury duty leave; and voting leave.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
- PTO and/or PPTO usable for vacation, sick leave, holidays, or other purposes.
- Live Better U, a Walmart-paid education benefit program for eligible full-time and part-time associates, covering tuition, books, and fees for programs ranging from high school completion to bachelor’s degrees, English Language Learning, and short-form certificates.
- Stock may be included as additional compensation for certain positions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
